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a very urgunt and important question about R

3 messages · mina orang, PIKAL Petr, arun

#
Dear all

I am doing a research in clinical psychology and I need to Generate a
block randomization for a clinical trial, with two treatments and
three therapists. I mean I must randomize the clients (all women) to
two kinds of treatment (called "treatment as usual" and "narrative
exposure therapy") and three different therapists.
I tried to do this randomization by using R software and by using
stratification package but I didn't (and still can not) understand how
I should use R for this job.

Could you please help me and show me how I should use R for this kind
of randomization in a really easy way?

I really appreciate your help in advance.

Best
Mina

P.S. I just know little about statistics and software. Please teach me
in a really easy way.
#
Hi

I recommend to start with

library(fortunes)
fortune("surgery")

Anyway, beside Introduction to R you could go through 

CRAN Task View: Design of Experiments (DoE) & Analysis of Experimental Data

and specifically through

Experimental designs for clinical trials 
This task view only covers specific design of experiments packages; there may be some grey areas. Please, also consult the ClinicalTrials task view. 

*experiment contains tools for clinical experiments, e.g., a randomization tool, and it provides a few special analysis options for clinical trials. 
*Package gsDesign implements group sequential designs, 
*Package gsbDesign evaluates operating characteristics for group sequential Bayesian designs, 
*package asd implements adaptive sequential designs. 
*Package TEQR provides toxicity equivalence range designs (Blanchard and Longmate 2010) for phase I clinical trials. 
*The DoseFinding package provides functions for the design and analysis of dose-finding experiments (for example pharmaceutical Phase II clinical trials); it combines the facilities of the "MCPMod" package (maintenance discontinued; described in Bornkamp, Pinheiro and Bretz 2009) with a special type of optimal designs for dose finding situations (MED-optimal designs, or D-optimal designs, or a mixture of both; cf., Dette et al. 2008)

Which shall provide you with some insight.

Regards
Petr
#
Hi,
You may try:
library(psych)
?block.random()

Also, look this link
http://personality-project.org/revelle/syllabi/205/block.randomization.pdf
A.K.




----- Original Message -----
From: mina orang <minaorang at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Friday, July 26, 2013 4:26 AM
Subject: [R] a very urgunt and important question about R

Dear all

I am doing a research in clinical psychology and I need to Generate a
block randomization for a clinical trial, with two treatments and
three therapists. I mean I must randomize the clients (all women) to
two kinds of treatment (called "treatment as usual" and "narrative
exposure therapy") and three different therapists.
I tried to do this randomization by using R software and by using
stratification package but I didn't (and still can not) understand how
I should use R for this job.

Could you please help me and show me how I should use R for this kind
of randomization in a really easy way?

I really appreciate your help in advance.

Best
Mina

P.S. I just know little about statistics and software. Please teach me
in a really easy way.

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