-
Incidence Rate
-
Prevalence
-
Sensitivity
-
Specificity
-
False-Negative Rate
-
False-Positive Rate
-
Positive Predictive Value (PPV)
-
Negative Predictive Value (NPV)
-
Overall Accuracy, or Diagnostic Efficiency
-
Deriving Missing Performance Measures When Only Some Are Known
-
Youden's Index
-
Discriminant Power for a Test (Test Effectiveness Statistic)
-
Test Performance in a Population as Prevalence Changes
-
Determining the Original Data from Test Performance Measures
-
Algorithm of Grimes and Schulz for Distinguishing Rates, Proportions and Ratios
-
Interpreting a Test Value Based on a Clinical Study Using Ranked Results
-
Percent of Patients Misclassified by a Test in a Population with a Given Disease Prevalence
-
Entropy of a Result Based on the Probability for a Disease
-
Formulae of Buck and Gart for Apparent Sensitivity and Specificity of a Test Relative to a Reference Method
-
Identifying Possible Causes for a Difference Between Reported and Observed Sensitivity and Specificity for a Diagnostic Test
-
Spectrum Effect (Spectrum Bias)
-
Akaike Information Criterion (AIC) for a Statistical Model
-
Evaluation of a Test Based on its Sensitivity, Specificity and Youden Index
-
Bayes's Theorem
-
Odds and Likelihood Ratios
-
Odds and Likelihood Ratios for Sequential Testing
-
Determining the Sensitivity and Specificity for a Test Required to Provide a Post-Test Probability for a Specified Pre-Test Probability
-
Determining the Sensitivity and Specificity for a Test Based on its Positive and Negative Likelihood Ratios
-
Weight of Evidence
-
Number of Tests with a Given Sensitivity and Specificity Required to Achieve a Given Post-Test Probability
-
Final Post-Test Probability After Performing a Series of Diagnostic Tests
-
Risk Sensitivity and Risk Specificity
-
Arithmetic Mean of Values in a Normal Distribution
-
Standard Deviation (SD) of Values in a Normal Distribution
-
Coefficient of Variation (CV)
-
Logistic Distribution
-
Coefficient of Stability (CS) for the Mean
-
Determining the Equation for Converting a Score to a Probability with a Logistic Distribution
-
Determining a Test's Mean and Standard Deviation from the Normal Reference Range
-
Determining the Number of Standard Deviations Required to Include a Given Percent of a Population That Follows a Normal Distribution
-
Determining the Number of People in a Population with a Normal Distribution with Values Higher or Lower Than a Given Result
-
Z-score
-
Ceiling or Floor Effect
-
Geometric Mean
-
Shapes of Feinstein for Different Data Distributions
-
Median and Mode in a Distribution
-
Handling Random Measurement Error in an Outcome Variable
-
Handling Random Measurement Error in an Exposure Variable (Regression Dilution Bias)
-
Handling Outlier Data
-
Overfitting in a Regression Model
-
Standard Deviation Interval (SDI)
-
Coefficient of Variation Interval (CVI)
-
Total Allowable Error
-
Using the Binomial Distribution to Evaluate a Production Run Based on Random Sampling and the Percent Allowable Defects
-
Outcome Comparison of Two Groups
-
Comparison of Two Observers
-
Test Comparison Using Receiver Operating Characteristics (ROC) Plots
-
Determining the Maximum Youden Index for a ROC Plot
-
The Area Under the Curve for a ROC Plot Symmetrical About the Line for Sensitivity Equal to Specificity
-
Distance of a Point on the ROC Curve from the Ideal
-
Correlating the Area Under the ROC Curve (AROC) with the Performance of a Test
-
The Null Hypothesis, with Type I and Type II Errors
-
Westgard Control Rules
-
Using a Series of Control Rules in the Multirule Shewhart Procedure
-
Criteria for Assessing the Methodologic Quality of Clinical Studies Used by Heyland et al
-
Method of Evans and Pollock to Evaluate Controlled Clinical Trials
-
Methodologic Quality Score Used by Hatala et al
-
Methodologic Quality Score Used by Andrews to Evaluate Clinical Trials of Contrast Media in Radiology
-
The Score of Jadad et al for Evaluating the Quality of Randomized Clinical Trials
-
Research Quality Scoring Method of Brown
-
Quality Score of Halpern and Preston for Clinical Trials, Adapted from the Score of Detsky et al
-
Quality Score of Krzyzanowski et al for Abstracts Reporting Randomised Clinical Trials at the American Society of Clinical Oncology (ASCO) Meetings
-
Minimal Data Set for Registration of a Clinical Trial
-
Classification of Van Spall et al for Appropriateness of Exclusion Criteria in a Clinical Trial
-
Evidence Scoring (ES) System of Yamazaki for Comparing the Strength of Evidence for a Drug in Large Scale Clinical Trials
-
PEDro (Physiotherapy Evidence Database) Scale for Evaluating the Evidence for Physiotherapy Practice
-
Method of Lehmann et al for Categorizing the Strengths and Weaknesses of a Clinical Trial
-
Avoiding Pitfalls in Subgroup Analysis
-
Will Rogers Phenomenon in Outcome Analysis
-
Criteria of Heddle and Cook for Deciding If a Composite Outcome Is Being Used Appropriately in a Clinical Trial
-
Placebo versus Active Controls in a Clinical Trial
-
Interpreting Results of a Non-Inferiority Clinical Trial
-
Levels of Evidence of Dugoua et al for Therapeutic Efficacy
-
Definitions of Westra et al for Minimal Risk in a Pediatric Clinical Trial
-
Ascertainment Error (Over-Ascertainment, Under-Ascertainment)
-
Number Needed to Treat (NNT), Relative Risk Reduction (RRR, Relative Risk Difference) and Absolute Risk Reduction (ARR, Absolute Risk Difference)
-
Net Intervention Effect
-
Rule of Thumb by Rumke for the Upper Confidence Limits for an Adverse Event Occurring If None Are Seen in a Study Population
-
Number Needed to Harm (NNH)
-
Number Needed to Treat With Unmitigated Success
-
Number Needed to Treat With Unmitigated Failure
-
Likelihood of Being Helped versus Harmed (LHH)
-
Number Needed to Treat Using the Hazard Ratio
-
Channeling Bias
-
Simpson's Paradox
-
Response Shift
-
Immortal Time Bias (Survivor Treatment Selection Bias)
-
Attained Effect (AE) and Maximum Attained Effect (MAE)
-
Cascade Effect
-
The Corrected Risk Ratio and Estimating Relative Risk
-
The Population Attributable Risk (PAR) Percent
-
Population Impact Number From Eliminating a Risk Factor (PIN-ER)
-
Disease Impact Number (DIN) of Heller and Dobson
-
Relative Risk for Improvement
-
Estimating the Number of Events Required to Achieve a Certain Risk Ratio Based on a Relative Risk Per Event
-
Confidence Interval for a Single Mean
-
Confidence Interval for the Difference Between Two Means
-
Confidence Interval for a Single Proportion
-
Confidence Interval When the Proportion in N Observations is 0 or 1
-
Confidence Interval for the Difference Between Two Proportions Based on the Odds Ratio
-
Confidence Interval for the Difference Between Two Proportions Using the Normal Approximation
-
Odds and Percentages
-
Benefit-to-Risk Ratio and Treatment Threshold for Using a Treatment Strategy
-
Testing and Test Treatment Thresholds
-
Determining If Surgery Is Indicated for a Condition Based on the Rate of Symptom Progression and Life Expectancy
-
Criteria of Schneiderman et al to Identify Medical Futility
-
Greenwich Grading System (GGS) for the Value of an Investigation in Patient Care
-
Severity and Likelihood Matrix
-
Feasibility Index of Lanzarini et al
-
Assessing Therapeutic Efficacy in Clinical Practice Using the LUNDEX
-
ACOG Ethics Committee Definitions of Medical Futility
-
Healthy Life-Years (HeaLY) Estimation
-
Quality Adjusted Life Year (QALY)
-
Cost Savings of an Immunization Program
-
Selection of Medical Management Strategy Based on Cost-Effectiveness
-
Marginal Cost-Effectiveness Ratio
-
Cost-Benefit Analysis with Net Present Value or Benefit
-
Criteria of Petitti for Selecting a Treatment Based on Cost-Effectiveness
-
SAFE (Safe, Appropriate, Fiscally Neutral, Effective) Principles When Selecting a Therapy
-
Estimating Changes in Life Expectancy Using the DEALE
-
Estimating the Average Annual Mortality Rate Using the DEALE and Survival Curves
-
Calculating the Kappa Coefficient for 2 Observations by 2 Observers
-
Calculating the Kappa Coefficient for 3 Observations by 2 Observers
-
Calculation of the Alpha Coefficient for a Battery of Tests
-
The Crossroads 99 Criteria for Screening Assessment
-
The Possible Types of Bias in Disease Screening
-
Criteria for a Useful Screening Test
-
Criteria of Cadman et al for Assessing the Effectiveness of a Community Screening Program
-
Criteria of Welch and Black for Evaluating a Report Describing the Randomized Trial of a Screening Test
-
Surveillance Bias (Detection Bias)
-
Recall Bias (Responder Bias)
-
Failing to Disclose or Lying About Risk Factors
-
Quality Indicators for Health Information on the Internet
-
Grading Instrument for Evaluation of Peer Review of Manuscripts
-
Criteria of Oxman et al for Scientific Quality of a Research Overview Article
-
Scoring Method of Callaham et al for Quality of Peer Review
-
Patterns of von Elm et al for Describing Duplicate Publication in the Medical Literature
-
Guidelines of Smith et al for Scoring the Quality of a Poster Presentation at a Scientific Meeting
-
Warning Signs of Bruhn for Published Claims Made About a Food, Drug or Therapy
-
Criteria of Slawson and Shaughnessy for Clinically Useful Information
-
Evaluating the Usefulness of Information from an Expert
-
Impact Factor (IF) for a Journal
-
When to Suspect a Hoax
-
Criteria of Radulescu et al for Evaluating a Prevalence Survey
-
Factors Affecting the Quality of a Query on the Internet
-
Daubert Guidelines for Determining If Evidence is Scientifically Based
-
Classification for the Investigation of a Waterborne Disease Outbreak
-
Criteria of the Editors from the Journal Obstetrics & Gynecology for Grading the Quality of a Journal Reviewer
-
Review Assessment Questionnaire of Landkroon et al
-
Editor Assessment Questionnaire
-
Criteria of Wasson et al for Evaluating the Report of a Clinical Prediction Rule
-
Committee on Publication Ethics (COPE) Criteria for Retracting a Publication
-
Criteria of Annesley for a Well-Written Abstract
-
Recommendations of Best for Evaluating a Statistic Reported in the Literature
-
Overmatching in a Case Control Study
-
Criteria of the ICMJE for an Author of a Journal Article
-
Data Fabrication and Falsification
-
Method of Shekelle et al for Determining if a Clinical Practice Guideline Should be Updated
-
NICE Recommendations for Parameters to Consider When Developing a Clinical Guideline
-
The Lorenz Curve and Gini Coefficient
-
The Robin Hood Index (Pietra Ratio) and Allocation of Health Care Providers
-
Calculation of the Brier Score for a Prognostic Index
-
The Reliable Change Index (RCI)
-
Significant Change in a Laboratory Test Result
-
Confidence Level Descriptions in Diagnosis
-
Explicit Tests for Verifying a Diagnosis
-
Attribution Scheme of Sanders et al for the Likelihood of a Diagnosis
-
Using a Therapeutic Trial (Test of Treatment) to Make a Diagnosis
-
Great Imitators (Masqueraders) in Diagnosis
-
Susser's Rules of Inference in Epidemiology
-
Sources of Bias in Meta-Analysis of Controlled Clinical Trials
-
Causes of Naylor for Differences Between Apparently Similar Clinical Trials
-
I-squared of Higgins et al for Measuring Inconsistency in a Meta-Analysis
-
Algorithm of Grimes and Schulz for Classifying a Clinical Research Study
-
Levels of Evidence and Grades of Recommendations from Cook, Sackett et al.
-
Grading the Evidence for a Clinical Guideline Using the GRADE Approach
-
Levels of Evidence of Sackett and Goldsmith for a Clinical Sign or Symptom
-
The STOX (Systematic Reviews, Trials, Observational Studies, Expressions of Opinion) Classification of Evidence
-
P Score (Prognostic Value) of a Prognostic Factor
-
Strength of a Recommendation in a Clinical Guideline from the Infectious Diseases Society of America (IDSA)
-
Hawthorne Effect
-
The Perceived Involvement in Care Scale (PICS)
-
Perceived Personal Control (PPC) Questionnaire of Berkenstadt
-
Algorithm for Expert Classification of Chest Radiographs in Pneumoconiosis
-
Classification of Murphy et al for Agreement Between Pathologists
-
Index of Weighted Percentage Agreement Between 2 Observers Using 4 Ordinal Categories
-
Use of the McNemar Index to Identify Biased Disagreements in Binary Classifications By Two Observers
-
Method of Schulz and Grimes for Maximizing Patient Follow-Up in a Clinical Trial
-
Acceptable Rate of Loss to Follow-Up in a Clinical Trial
-
Use of Cohen's Effect Size Index for Two Samples with Independent Means to Determine the Number in Each Sample to Provide Optimum Power
-
Design Effect (DE) for Clustered Samples
-
Numeracy Score to Determine a Patient's Understanding of Chance Occurrences
-
The Paling Perspective Scale for Presenting Risk
-
Comparing the Risk of a Medical Event to Life Events
-
Acceptance vs Outrage for a Perceived Risk
-
Different Kinds of Attitudes People Have Towards Risk and Its Handling
-
The Chances of Getting 2 Specified Numbers on 2 Rolls of 2 Dice
-
Why a Person Will Stay in a Location with a Significant Environmental Risk
-
Criteria of Hill for Causal Association of an Exposure
-
Hazards of Indiscriminate Blame for an Intervention
-
Sampling Error
-
Data Drift
-
Sidak Correction for the Statistical Significance of Multiple Tests
-
Cumulative Probability Value When Combining a Group of Independent Tests
-
Fitting Data to a Hypothesis (Procrustean Data Torturing)
-
Fitting a Hypothesis to Data (Opportunistic Data Torturing)
-
Screening for Evidence of Data Torturing
-
Number of Possible Combinations for a Subset of Findings
-
Factors of Boynton for Increasing the Response Rate to Questionnaires
-
Types of Sampling for a Questionnaire
-
Checklist of Boynton and Greenhalgh for Prerelease Evaluation of a Questionnaire
-
Calculating the Response Rate for a Questionnaire
-
Flynn Effect and Results of Intelligence Quotient (IQ) Tests Over Time
-
Calculating the Expected Value for a Probabilistically Distributed Quantity
-
Comparing the Outcomes of Two Strategies for Probabilistic Dominance
-
Decision Analysis for an Insurance Company Covering a Malpractice Claim
-
Features of Dysfunctional Thinking
-
Characteristics of a Negative or Destructive Cult
-
Availability Bias (Availability Heuristic)
-
Selective Reporting Bias (Publication Bias, Outcome Reporting Bias)
-
Ego Bias and Reverse Ego Bias
-
Outcome Bias
-
Early Adopter Bias
-
Biases That Can Affect a Consensus Conference
-
Interactions of Diagnosis and Reporting Biases
-
Interviewer Bias
-
Victory Disease
-
Cognitive Dissonance
-
Reasons for a Rush to Judgment
-
Ambiguity and Disambiguation
-
Ostrich Syndrome
-
Types of Binary Choices: Hobson’s, Morton’s Fork and Dilemmas
-
Asymmetry Index (AI) Between Measurements of Objects on the Left and Right Sides
-
Calculating the NASA Task Load Index (NASA-TLX) for a Task
-
Magical Number 7 Plus or Minus 2 for Working Memory (Miller's Law)
-
Synergy Index Multiplicative (SIM) of Khoury and Flanders in Gene-Environment Interaction Case Control Studies
-
Synergy Index Additive Model of Khoury and Flanders in Gene-Environment Interaction Case Control Studies
-
Clinical Algorithm Structural Analysis (CASA) Complexity Score
-
Conditions Which Can Result in Error When Using a Clinical Prediction Rule
-
Triggers for Automated Execution of a Clinical Algorithm
-
Creating a Score from Coefficients Derived from Logistic Regression Analysis
-
Various Approaches to Handling a Clinical Prediction Model If Data Is Missing
-
10 Reasons Why a Clinician May Not Use an Algorithm
-
Questions of Farooq et al for Evaluating the Performance of a Prognostic Score
-
Classification of Feinstein for Scales
-
Time to Achieve a Change in Value for a First Order Process
-
Rates for Describing Combat Casualties (Killed in Action, etc.)
-
Disease Rate and Transition Probability
-
Factors Affecting the Reliability of Self-Reported Information
-
Simple and Compound Interest
-
Annual Inflation Rate
-
Types of Failures in Medical Software Testing
-
FDA Level of Concern for Medical Software Contained in a Medical Device
-
Requirements When Submitting Medical Software for FDA Approval
-
Requirements for an Electronic Signature
-
Requirements for Adequate Backup of a Computer
-
Problems with Barcode Labels
-
Desirable Characteristics of Smith for a Clinical Decision Support System
-
Predictors of Sittig et al for a Clinician's Acceptance of an Alert from a Clinical Decision Support System (CDSS)
-
Post Hoc Fallacy
-
Types of Ad Hominem Fallacies
-
Decision Influenced by a Speaker's Behavior
-
Appeal-Based Arguments
-
Risk Telescoping
-
False Dilemma
-
Dosing to Toxicity
-
Reasons People Believe a Pathologic Liar
-
Ecological Fallacy
-
Urban Legend (Urban Myth)
-
Association Fallacy
-
Slippery Slope
-
Gambler's Fallacy (Monte Carlo Fallacy)
-
Confusing Cause and Effect
-
Anchoring Bias (Focusing Bias)
-
Cherry Picking Fallacy (Fallacy of Incomplete Evidence)
-
Hazards Associated with a False Alarm
-
Inattentional Blindness
-
Warning Overload
-
Prioritizing Warnings
-
Habituation and Adaptation to an Alarm or Warning (Alert Fatigue)
-
Requirements for an Auditory Warning to Be Effective
-
Requirements for an Visual Warning to Be Effective
-
Barriers That May Limit the Effectiveness of an Alarm or Warning
-
Reasons Why a Person May Not Heed a Warning
-
Classifying a Failure of a Warning System
-
Ways That a Vandal May Interfere with a Visible Warning Sign
-
Shape and Color Standards for Common Workplace Safety Signs
-
Factors of Smith-Jackson to Consider When Transferring an Information Resource to a Different Culture
-
Factors of Bonell et al Affecting the Delivery of an Intervention To Another Site
-
Recommended Steps for Translating a Questionnaire into Another Language
-
Bait and Switch
-
Risk Factors for Being Taken by a Scam or Confidence Trick
-
Ponzi Scheme
-
Risk Factors for Being Taken by a Person Displaying Feigned Anger
-
Interquartile Range (IQR)
-
Dixon’s Q Test to Detect an Outlier in a Data Set
-
Calculating the Confidence Interval (CI) for a Difference Using the Reported P value
-
Calculating the Confidence Interval (CI) for a Ratio Using the Reported P value
-
Elements of Decision Regret
-
Observational Intensity Bias
-
Gold Rush Fever
-
Elements of a Fad
-
Demoralization
-
Target Fixation (Moth Effect)
-
Bystander Effect
-
Conversion of Logistic Regression Coefficient and Odds Ratio
-
Determining the Factor for a Logistic Regression Model If the Probability and Coefficients Are Known
-
Selling Price
-
Goals of the AJCC for a Cancer Staging System
-
Spin of Study Findings
-
Standardized Increment of Two Treatment Groups (Effect Size, Standardized Mean Difference)
-
Overestimation Error (Overdiagnosis)
-
Omitted Variable Bias
-
Exposure Misclassification Bias
-
Criteria of Bradford Hill for Defining Causation of Disease By an Environmental Exposure
-
Reasons for Mixed or Contradictory Messages
-
Difficulties That an Older Adult May Have with an Alarm or Warning
-
Shill
-
Ghostwriting and Ghost Authorship
-
Occam’s Razor (Principle of Parsimony, Principle of Frugality, KISS)
-
Creating an Asset Bubble
-
Mental Fatigue
-
Optimism Bias and Pessimism Bias
-
Distorted Thinking Associated with Depression
-
Goals of Cappellini et al for a Disease Severity Scoring System (DSSS)
-
Return on Investment (ROI)
-
Altruism
-
Referral Bias (Verification Bias)
-
Non-Response Bias in a Survey
-
Attractiveness and Unattractiveness Bias
-
Method of Koopman et al for Creating an Additive Score from Odds or Hazard Ratios
-
Classification of Ferner and Aronson for Human Error
-
Troubleshooting a Failure of a Clinical Algorithm to Transport to a New Location
-
Levels of Justice et al for Validation of a Predictive System
-
Number Allowed to Diagnose (NAD), Number Needed to Misdiagnose (NNM) and Probability of Misclassification
-
Estimating a Comparable Value for an Analyte Performed By a Different Method
-
Surgical Selection Bias
-
Checklist of Downs and Black for Evaluating the Methodological Quality of a Study of a Health Care Intervention
-
Standards of the Institute of Medicine (IOM) for Clinical Practice Guidelines
-
Masking
-
Dilemma or Trilemma
-
Horizon Effect
-
Symptoms of Janis for Groupthink
-
Straight Line Depreciation
-
Decision Fatigue
-
Fog of War
-
Predatory Publishing
-
Healthy Worker Bias (Healthy Worker Effect, Healthy User Bias)
-
Protopathic Bias
-
Hindsight Bias
-
Double Standard
-
Turning Off an Alarm
-
System Usability Scale (SUS)
-
Decision-Making Scale for an Administrator Buying Computer Software
-
Mania or Panic
-
Pathetic Fallacy
-
Hazard versus Risk in Risk Assessment
-
Regression to the Mean (RTM)
-
Criteria of Epstein for the Determining the Utility of an Oral Cancer Screening Test
-
BEEM (Best Evidence in Emergency Medicine) Rater Scale of Worster et al
-
McMaster Online Rating of Evidence (MORE) Scale
-
Sampling Bias in Research Involving Prisoners and Other Captive Populations
-
Failure to Detect or Respond to a Deterioration in a Chronic Condition
-
CARE Method for Minimizing Diagnostic Errors
-
Risk Factors for Misdiagnosis
-
Criteria of Kerzner et al for an Ideal Classification of Feeding Difficulties
-
Time Trade Off (TTO) Utility Score
-
Diagnostic Discordance in a Transferred Patient
-
Timing and Significance of an Outside Pathology Consult
-
Testimation Bias
-
Confirmation Bias
-
Automation Bias
-
Risk Factors for Procrastination
-
Demonization
-
Scapegoating
-
Irrational Procrastination Scale (IPS) of Steel
-
Social Feedback Loop
-
Unintentional Procrastination Scale (UPS)
-
Pure Procrastination Scale (PPS)
-
Susceptibility to Temptation Scale (STS)
-
Learning Curve
-
Learning Effect When Performing a Task
-
Prescriptive Algorithm
-
Operator Error and Misuse of a Clinical Algorithm
-
Negative Effects of Superstition and Magical Thinking
-
Straw Man Fallacy
-
Signs That a Person May Be in Trouble at Work
-
Stages of Smith for a Long Confidence Game
-
Salting a Mine
-
Engaging the Mark in a Criminal Act
-
Attrition Bias
-
FDA Requirements for a Human Clinical Trial Using a Drug
-
Evaluation of Studies in a Meta-Analysis Using a Funnel Plot
-
Corruption of Absolute Power
-
Traits of a Bad Manager
-
Information Overload
-
Electronic Health Record Information Blocking
-
Interoperability
-
Features of an Asset Bubble (Speculative Craze)
-
Academic Life Lessons of Levin
-
Traits of a Good Manager
-
Modified Newcastle-Ottawa Scale for the Evaluation of Non-Randomized Controlled Studies
-
White Hat Bias
-
Novelty Bias
-
Being Bored and Distracted
-
Stereotyping
-
Paradox of Choice
-
Misdirection
-
Ways of Committing Fraud in a Product
-
Dark Pattern in a Website or App
-
False Omission Rate
-
False Discovery Rate
-
Likelihood Ratio for a Positive Subject
-
Likelihood Ratio for a Negative Subject
-
Guide of Kurichi and Sonnad for the Selection of an Appropriate Statistical Method to Analyze Clinical Data
-
Cost of Preventing an Event (COPE Statistic)
-
Clues of Markowitz and Hancock to a Fraudulent Scientific Report
-
National Comprehensive Cancer Network (NCCN) Categories of Evidence
-
5-Item Patient Health Engagement (PHE) Scale of Graffigna et al
-
Collider Bias (Admission Rate Bias)
-
Self-Reporting and Social Desirability Biases
-
Prescription Bias
-
Content Validity Index (CDI) and Its Variations
-
Hick's Law
-
Gaslighting
-
Ageism
-
Lookism (Appearance Discrimination)
-
Converting a Multiple of the Upper Limit of Normal (ULN) to a Z Score
-
Fragility Index
-
h-Index for an Author of Scientific Papers
-
QUADAS Tool for Quality Assessment of Diagnostic Accuracy
-
Hypothesize and Match for Rule-In and Rule-Out
-
Herd Mentality
-
Willful Blindness
-
Conflict of Interest
-
Fanatic or Zealot
-
Moral Hazard
-
Pump-and-Dump
-
Fraboni Scale of Ageism (FSA)
-
Succession, Identity and Consumption (SIC) Ageism Scale of North and Fiske
-
Relational Ageism Scale (RAS)
-
PEDro (Physiotherapy Evidence Database) Scale for a Clinical Trial
-
Allocation of Scarce Medical Resources
-
Chances of an Abnormal Test Result in a Healthy Patient If Multiple Tests Are Performed
-
Regulatory Burden and Death by a Thousand Cuts
-
Cherry-Picking
-
Algorithmic or Artificial Intelligence (AI) Bias
-
Credit Risk
-
Prescription Digital Therapeutic (PDT)
-
Spanish Prisoner
-
False Flag
-
Due Diligence
-
Negativity Bias
-
Distance Bias
-
Levels of a Maturity Model (Capability Maturity Model) for Achieving Best Practices
-
AHRQ Criteria for a Learning Health System (LHS)
-
Sample Size Calculation of Negida et al for a Diagnostic Test Accuracy Based on Sensitivity and Specificity
-
Equation of Peduzzi et al for Determining the Sample Size When Logistic Regression Analysis is Performed
-
Present Bias (Immediate Gratification, Immediacy Effect)
-
Organizational Bias
-
Greater Fool Theory
-
Basis Points (BPS, bips)
-
Mortgage Points
-
Goodwill
-
Federal Computer Security Incident Categories (CAT)
-
Pareto Principle, Sturgeon's Law and the 80-20 Rule
-
Cutting the Gordian Knot
-
Matthews Correlation Coefficient (MCC)
-
Black Swan Event
-
WHO Stages L1 to L4 for a Computerized Clinical Guideline
-
Ghosting
-
Conspiracy Theories
-
Coping with Inflation
-
Stagflation
-
Superstitions Associated with the Number 13 (Triskaidekaphobia, Paraskevidekatriaphobia)
-
Normalization of Behavior
-
Business Iron, Scope or Quality Triangle (Good, Fast, Cheap)
-
SWOT Analysis
-
Stages of Computerized Clinical Guideline Development Using Business Process Modeling and Notation
-
Criteria of Dalmer for Perceived Reliability of a Healthcare Website
-
Documentation Bias
-
Dunning Kruger Effect
-
Luddite
-
Interoperability and Data Pollution
-
Debt Trap
-
Steps Taken By a Clinician Prior to Accepting Data for Clinical Use
-
Seven Deadly Sins of Digital Transformation
-
Brooks' Law
-
Delusional Thinking versus Belief
-
Catfishing
-
Problem Solving with 5WH
-
F Score
-
Classification of Information in the Media
-
Warning Signs of Misleading Information in the Media
-
Factors Allowing Misinformation to Spread by Social Media
-
AGREE-REX Criteria for Evaluating the Quality of the Recommendations in a Guideline
-
Sunk Cost Bias
-
Vasa Syndrome
-
Confounding By Indication
-
Medicare Weight Rule of Schneeweiss et al
-
Long Con
-
Conversion of a Z Score to a Population Percentile
-
Area Under the Receiver Operating Curve (AUROC) versus C-Statistic
-
Levels of Evidence Used by Hadjisavvas et al Based on Qualitative Assessment Using Best Evidence Synthesis (BES)
-
Consequences of Chang et al for Incorrect Statistical Analysis of Correlated Data
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Confounders (Confounding Variables)
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Underwater Mortgage or Loan
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Zombie Company
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Beneish Misinformation Score (M-Score)
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Financial Distress
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Survivorship Bias
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Relative Citation Ratio (RCR)
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Funding or Sponsorship Bias
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Bias from Being Unable to Access Critical Information (Information Accessibility Bias)
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Hickam's Dictum for Diagnosis
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Complacency
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Fearmongering
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Dual Task Cost (DTC)
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Method of Huang et al of Converting Odds Ratios to a Summation Score
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Clinical Dataset Bias
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Data Poisoning
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Dutch Disease
