Biostatistics
Preface
Introduction
Part I
0.1
Tentative ToC
0.1.1
Part One (Biostatistics I)
1
The role of biostatistics in clinical research
1.1
Preliminaries
1.1.1
Contingency Table
1.1.2
Sensitivity / Specificity
1.1.3
Positive Likelihood Ratio
1.1.4
Negative Likelihood Ratio
1.2
Bayes Formula
1.2.1
Alternative format
2
Programming Concepts in R
3
Probability & Statistical Inference
3.1
Probability introduction
3.1.1
State space (sample space)
3.1.2
Probability is bound between 0 and 1
3.1.3
Certainty and uncertainty
3.1.4
Connection to deductive logic
3.1.5
Using Sets as “Probability Spaces”
3.1.6
Conditional probability
3.1.7
Causation connections
3.2
Notes and thoughts on Chapter 3: Probability in the clinical encounter
3.2.1
3.1 Uncertainty and Probability in the Single Case
3.2.2
3.2 Probability from Statistics: Frequentism
3.2.3
3.3 Probability as Degree of Belief - Subjective Credence
3.2.4
3.4 Probability as Dispositional and Intrinsic Properties
3.2.5
3.5 Propensities and the Clinic
3.3
Statistical Inference (Induction)
3.4
Confidence Intervals (CI)
3.4.1
General equations
3.4.2
CI for a Proportion
3.4.3
CI for a Mean
3.4.4
CI to evaluate differences
4
Measurement
5
Tidying for Tidy Data
6
Transforming for Transformed Data
7
Descriptive Statistics
8
Exploratory Analysis
Part II
8.1
Tentative Contents
9
Computational Approaches to Statistical Inference
10
Methods for Statistical Modeling
11
Evaluating & Interpreting Statistical Models
12
Presentation & Dissemination
Published with bookdown
Biostatistics for Clinical Research
Chapter 2
Programming Concepts in R
Under development