Data monitoring committees (dmc), Advanced Statistics

Committees to monitor the accumulating data from the clinical trials. Such committees have chief responsibilities for ensuring the continuing safety of the trial participants, relevance of the trial query, suitability of the treatment protocol and the integrity and quality of the accumulating data. The committees must be multidisciplinary, and should for all time include individuals with the relevant clinical and statistical expertise.

Posted Date: 7/27/2012 2:00:21 AM | Location : United States







Related Discussions:- Data monitoring committees (dmc), Assignment Help, Ask Question on Data monitoring committees (dmc), Get Answer, Expert's Help, Data monitoring committees (dmc) Discussions

Write discussion on Data monitoring committees (dmc)
Your posts are moderated
Related Questions
Homoscedasticity - Reasons for Screening Data Homoscedasticity is the assumption that the variability in scores for a continuous variable is roughly the same at all values of

A metal fabrication process uses a die-cast metal fastener at a uniform rate of 300 units per year. Currently, this item is currently purchased from an external supplier at a unit

Mosaic displays  is the graphical display of the standardized residuals from the fitting a log-linear model to a contingency table in which the colour and outline of the mosaic's '

Chain-binomial models : Models arising in mathematical theory of the quite infectious diseases, which postulate that at any stage in the epidemic there are a certain number of the

Protocol is the formal document outlining the proposed process for carrying out the clinical trial. The basic features of the document are to study the objectives, patient selecti

This graph for Cross Correlation Function for RES1, RES1 shows that there is possibly negative autocorrelation as there are alternating spikes; also the first spike is negative whi

Wilcoxon's ranksum test is the distribution free method or technique used as an alternative to the Student's t-test for assessing whether two populations have the same location. G

A term usually used for unobserved individual heterogeneity. Such variation is of main concern in the medical statistics particularly in the analysis of the survival times where ha

Omitted covariates is a term generally found in the connection with regression modelling, where the model has been incompletely specified by not including significant covariates.

The GRE has a combined verbal and quantitative mean of 1000 and a standard deviation of 200.