### Latent Class Analysis & Latent Transition Analysis

**PROC LCA & PROC LTA**

SAS procedures for latent class analysis & latent transition analysis

SAS Macros for use with PROC LCA

#### LCA Stata Plugin

Plugin for Stata users to perform latent class analysis

**WinLTA **

for latent transition analysis

**LCA outcome probability calculator **

for Microsoft Excel

**Latent Class Causal Analysis **

R Package

### Adaptive Interventions

#### Sequential, multiple assignment, randomized trials (SMART)

**qlaci **

R package for analyzing data from a SMART

** **

**PROC QLEARN**

SAS procedure for analyzing data from a SMART

**Minimum sample size calculator**

R code for a SMART pilot study

**SAS code to compare adaptive interventions **

using data from a SMART

**R code for constructing adaptive interventions **

using Q-learning with data from a SMART

*Two applets allow users to calculate the sample size for a SMART.*

- Sample size calculator for a SMART design with a continuous outcome

- Sample size calculator for a SMART design with survival outcomes

### Analysis of Intensive Longitudinal Data

**SAS TVEM macro **

for estimating a time-varying effect model

**SAS FHLM-LLR macro **

for estimating functional hierarchical linear models using local linear regression estimation procedure

### Optimizing Interventions

#### Multiphase optimization strategy (MOST)

**RelativeCosts1 SAS Macro**

for charting the relative cost of reduced factorial designs

**FactorialPowerPlan SAS Macro**

for calculating the power, effect size, or sample size of a factorial experiment

### Causal Inference

**R code: Two-stage regression estimator of the SNMM**

for examining time-varying causal effect moderation

### Variable Selection

**PROC SCADLS & PROC SCADGLIM**

SAS procedures for variable selection

### Missing Data

**Software for ***Missing Data: Analysis and Design *

*Missing Data: Analysis and Design*

a book by John Graham