# Statistical Thinking

## Posts

### Incorporating Historical Control Data Into an RCT

drug-evaluation

bayes

design

drug-development

inference

observational

posterior

prior

2023

### Wedding Bayesian and Frequentist Designs Created a Mess

2023

inference

RCT

bayes

design

evidence

multiplicity

posterior

prior

sequential

### Ordinal Models for Paired Data

2023

ordinal

hypothesis-testing

inference

regression

### Randomized Clinical Trials Do Not Mimic Clinical Practice, Thank Goodness

generalizability

design

medicine

RCT

drug-evaluation

personalized-medicine

evidence

2017

2023

### Biostatistical Modeling Plan

2023

accuracy-score

endpoints

ordinal

collaboration

data-reduction

design

medicine

prediction

regression

validation

bootstrap

### How to Do Bad Biomarker Research

2022

big-data

bioinformatics

biomarker

bootstrap

data-science

decision-making

dichotomization

forward-probability

generalizability

medical-literature

multiplicity

personalized-medicine

prediction

principles

reporting

reproducible

responder-analysis

sample-size

sensitivity

### R Workflow

2022

data-science

graphics

r

reproducible

### Decision curve analysis for quantifying the additional benefit of a new marker

2022

biomarker

accuracy-score

decision-making

diagnosis

medicine

### Equivalence of Wilcoxon Statistic and Proportional Odds Model

2022

2024

endpoints

ordinal

drug-evaluation

hypothesis-testing

RCT

regression

### Longitudinal Data: Think Serial Correlation First, Random Effects Second

drug-evaluation

endpoints

measurement

RCT

regression

2022

### Assessing the Proportional Odds Assumption and Its Impact

2022

accuracy-score

dichotomization

endpoints

ordinal

### Commentary on Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes

bayes

covid-19

design

generalizability

inference

metrics

ordinal

personalized-medicine

RCT

regression

reporting

2021

### Incorrect Covariate Adjustment May Be More Correct than Adjusted Marginal Estimates

2021

generalizability

RCT

regression

### Avoiding One-Number Summaries of Treatment Effects for RCTs with Binary Outcomes

2021

generalizability

RCT

regression

### If You Like the Wilcoxon Test You Must Like the Proportional Odds Model

ordinal

hypothesis-testing

2021

accuracy-score

RCT

regression

metrics

### Violation of Proportional Odds is Not Fatal

2020

ordinal

accuracy-score

RCT

regression

hypothesis-testing

metrics

### RCT Analyses With Covariate Adjustment

2020

drug-evaluation

generalizability

medicine

personalized-medicine

prediction

RCT

regression

### Bayesian Methods to Address Clinical Development Challenges for COVID-19 Drugs and Biologics

bayes

RCT

design

drug-evaluation

medicine

responder-analysis

covid-19

### Implications of Interactions in Treatment Comparisons

RCT

drug-evaluation

generalizability

medicine

observational

personalized-medicine

prediction

subgroup

2020

### The Burden of Demonstrating HTE

RCT

generalizability

medicine

metrics

personalized-medicine

subgroup

2019

### Assessing Heterogeneity of Treatment Effect, Estimating Patient-Specific Efficacy, and Studying Variation in Odds ratios, Risk Ratios, and Risk Differences

RCT

generalizability

medicine

metrics

personalized-medicine

prediction

subgroup

accuracy-score

2019

### Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements

prediction

sample-size

validation

accuracy-score

biomarker

diagnosis

medicine

reporting

2018

### In Machine Learning Predictions for Health Care the Confusion Matrix is a Matrix of Confusion

data-science

machine-learning

prediction

2018

### Viewpoints on Heterogeneity of Treatment Effect and Precision Medicine

RCT

biomarker

decision-making

drug-evaluation

generalizability

medicine

metrics

personalized-medicine

prediction

subgroup

2018

### Musings on Multiple Endpoints in RCTs

RCT

bayes

design

drug-evaluation

evidence

hypothesis-testing

medicine

multiplicity

p-value

posterior

endpoints

2018

### Improving Research Through Safer Learning from Data

design

evidence

generalizability

inference

judgment

measurement

prior

bayes

2018

### Is Medicine Mesmerized by Machine Learning?

machine-learning

accuracy-score

classification

data-science

decision-making

medicine

prediction

validation

2018

### Information Gain From Using Ordinal Instead of Binary Outcomes

RCT

design

ordinal

dichotomization

inference

precision

responder-analysis

sample-size

2018

### How Can Machine Learning be Reliable When the Sample is Adequate for Only One Feature?

prediction

machine-learning

sample-size

validation

precision

accuracy-score

2018

### Bayesian vs. Frequentist Statements About Treatment Efficacy

reporting

inference

p-value

RCT

bayes

drug-evaluation

evidence

hypothesis-testing

2017

### Integrating Audio, Video, and Discussion Boards with Course Notes

collaboration

teaching

r

reproducible

2017

### EHRs and RCTs: Outcome Prediction vs. Optimal Treatment Selection

prediction

generalizability

drug-evaluation

evidence

subgroup

EHR

design

medicine

inference

big-data

RCT

personalized-medicine

2017

### Statistical Errors in the Medical Literature

prediction

logic

p-value

validation

bayes

evidence

subgroup

dichotomization

medicine

inference

change-scores

RCT

personalized-medicine

responder-analysis

hypothesis-testing

medical-literature

2017

### Damage Caused by Classification Accuracy and Other Discontinuous Improper Accuracy Scoring Rules

prediction

machine-learning

accuracy-score

dichotomization

probability

bioinformatics

validation

classification

data-science

2017

### My Journey from Frequentist to Bayesian Statistics

inference

p-value

likelihood

RCT

bayes

multiplicity

posterior

drug-evaluation

principles

evidence

hypothesis-testing

2017

### A Litany of Problems With p-values

decision-making

bayes

multiplicity

p-value

hypothesis-testing

2017

### Clinicians’ Misunderstanding of Probabilities Makes Them Like Backwards Probabilities Such As Sensitivity, Specificity, and Type I Error

specificity

probability

backward-probability

forward-probability

p-value

bayes

conditioning

diagnosis

decision-making

dichotomization

medicine

bioinformatics

biomarker

sensitivity

posterior

accuracy-score

classification

2017

### Split-Sample Model Validation

prediction

bootstrap

validation

2017

### Fundamental Principles of Statistics

design

measurement

principles

2017

2023

### Classification vs. Prediction

prediction

decision-making

machine-learning

accuracy-score

classification

data-science

2017

### Null Hypothesis Significance Testing Never Worked

logic

inference

bayes

p-value

hypothesis-testing

inductive-reasoning

2017

### p-values and Type I Errors are Not the Probabilities We Need

judgment

inference

likelihood

bayes

multiplicity

p-value

prior

hypothesis-testing

2017

No matching items

## Talks

### Overview of Composite Outcome Scales & Statistical Approaches for Analyzing Them

2024

design

medicine

RCT

ordinal

drug-development

drug-evaluation

endpoints

measurement

regression

responder-analysis

### My Big Jump: Founding a Department of Biostatistics

2023

collaboration

medicine

reproducible

### Controversies in Predictive Modeling, Machine Learning, and Validation

prediction

machine-learning

validation

regression

### R Workflow for Reproducible Biomedical Research Using Quarto

r

data-science

reporting

reproducible

### Longitudinal Ordinal Models as a General Framework for Medical Outcomes

endpoints

RCT

ordinal

regression

### Modernizing Clinical Trial Design and Analysis to Improve Efficiency & Flexibility

RCT

drug-development

bayes

regression

endpoints

### Musings on Statistical Models vs. Machine Learning in Health Research

regression

prediction

machine-learning

validation

classification

accuracy-score

data-science

### Sequential Bayesian Designs for Rapid Learning in COVID-19 Clinical Trials

bayes

RCT

covid-19

### Bayes for Flexibility in Urgent Times

bayes

RCT

drug-development

covid-19

### Fundamental Advantages of Bayes in Drug Development

bayes

inference

multiplicity

drug-development

RCT

### R for Graphical Clinical Trial Reporting

r

RCT

reporting

safety

### Why Bayes for Clinical Trials?

bayes

RCT

drug-development

### R for Clinical Trial Reporting

r

RCT

reporting

### Regression Modeling Strategies

prediction

validation

accuracy-score

machine-learning

regression

### Simple Bootstrap and Simulation Approaches to Quantifying Reliability of High-Dimensional Feature Selection

big-data

bioinformatics

machine-learning

multiplicity

prediction

regression

validation

### Exploratory Analysis of Clinical Safety Data to Detect Safety Signals

RCT

safety

drug-evaluation

No matching items