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X-WR-CALNAME:Institute of Applied Statistics and Data Science
X-ORIGINAL-URL:https://isrt.ac.bd
X-WR-CALDESC:Events for Institute of Applied Statistics and Data Science
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TZID:UTC
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TZOFFSETFROM:+0000
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DTSTART:20050101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20070305T120000
DTEND;TZID=UTC:20070305T130000
DTSTAMP:20170814T025824Z
CREATED:20170814T025824Z
LAST-MODIFIED:20170814T025824Z
UID:1590-1173096000-1173099600@isrt.ac.bd
SUMMARY:Seminar on Monday\, March 5\, 2007
DESCRIPTION:Seminar : Assessing Power to Detect Gene-Environment Interactions\n\n\nMarch 6\, 2007 – 2:04am \n\n\n\nFull Title:\nAssessing Power to Detect Gene-Environment Interactions Using Surrogate Outcomes: A Simulation Study\n\n\nSpeaker:\nTamanna Howlader\, MSc\n\n\n\nInstitute of Statistical Research and Training\, University of Dhaka\, Bangladesh\n\n\nDate/Time:\nMonday\, March 5\, 2007\, 1200\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nNot available
URL:https://isrt.ac.bd/event/seminar-on-monday-march-5-2007/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20061218T110000
DTEND;TZID=UTC:20061218T120000
DTSTAMP:20170814T030202Z
CREATED:20170814T030202Z
LAST-MODIFIED:20170814T030202Z
UID:1592-1166439600-1166443200@isrt.ac.bd
SUMMARY:Seminar on Monday\, December 18\, 2006
DESCRIPTION:Seminar : Survival Analysis for Comparing Adaptive Treatment Strategies\n\n\nDecember 18\, 2006 – 2:07am \n\n\n\nFull Title:\nSurvival Analysis for Comparing Adaptive Treatment Strategies\n\n\nSpeaker:\nAbdus S Wahed\, PhD\n\n\n\nUniversity of Pittsburgh\, USA\n\n\nDate/Time:\nMonday\, December 18\, 2006\, 1100\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nAdaptive treatment strategy (ATS) refers to a sequence of treatments used to treat a patient during the disease duration. ATS’ are very common in cancer\, AIDS and psychiatric clinical trials. In recent years a number of clinical trials sponsored by the National Institute of Health have attempted to compare various ATS’. As a consequence\, biostatisticians had to focus on deriving appropriate methodologies for statistical inference. In this talk\, we discuss available methods for statistical inference for survival data from clinical trials comparing ATS’. We present a simulation study and a data analysis with a leukemia data set. Directions on future research are also presented in the discussion.
URL:https://isrt.ac.bd/event/seminar-on-monday-december-18-2006/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20061210T110000
DTEND;TZID=UTC:20061210T120000
DTSTAMP:20170814T031913Z
CREATED:20170814T031913Z
LAST-MODIFIED:20170814T031913Z
UID:1594-1165748400-1165752000@isrt.ac.bd
SUMMARY:Seminar on Sunday\, December 10\, 2006
DESCRIPTION:Seminar : Introduction to STATA\n\n\nDecember 10\, 2006 – 2:09am \n\n\n\nFull Title:\nIntroduction to STATA\n\n\nSpeaker:\nMohammad Ehsanul Karim\, BSc\n\n\n\nInstitute of Statistical Research and Training\, University of Dhaka\, Bangladesh\n\n\nDate/Time:\nSunday\, December 10\, 2006\, 1100\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nStata\, created in 1985 by Statacorp\, is a statistical software. Using the free resources\, this talk is devoted to give the glimpse about how this software works. Stata’s full range of capabilities includes: Data management\, Statistical analysis\, Graphics\, Simulations\, Custom programming and many more. The Second Talk is principally devoted to straightforward Statistical analysis (tests\, regression)\, Graphics and some other details. A concise outline about some of the specified Statistical analysis is also mentioned.
URL:https://isrt.ac.bd/event/seminar-on-sunday-december-10-2006/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20060830T120000
DTEND;TZID=UTC:20060830T130000
DTSTAMP:20170814T032153Z
CREATED:20170814T032153Z
LAST-MODIFIED:20170814T032153Z
UID:1596-1156939200-1156942800@isrt.ac.bd
SUMMARY:Seminar on Wednesday\, August 30\, 2006
DESCRIPTION:Seminar : Inference Using Ranked Set Sampling\n\n\nAugust 30\, 2006 – 2:11am \n\n\n\nFull Title:\nInference Using Ranked Set Sampling\n\n\nSpeaker:\nSyed Shahadat Hossain\, PhD\n\n\n\nInstitute of Statistical Research and Training\, University of Dhaka\, Bangladesh\n\n\nDate/Time:\nWednesday\, August 30\, 2006\, 1200\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nThis talk attempts to address the difficulty of the statistical inference using the ranked set sampling (RSS) data. The existing estimation approaches are discussed and the attempts made for valid test of hypothesis is also considered. A proposal for an unified approach for estimation and test with the assumption that the population follows the g and k quantile function distribution is made. The effect of the shape parameters on the simple RSS estimator of the population mean is also studied using the same assumption.
URL:https://isrt.ac.bd/event/seminar-on-wednesday-august-30-2006/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20060725T120000
DTEND;TZID=UTC:20060725T130000
DTSTAMP:20170814T032353Z
CREATED:20170814T032353Z
LAST-MODIFIED:20170814T032353Z
UID:1598-1153828800-1153832400@isrt.ac.bd
SUMMARY:Seminar on Tuesday\, July 25\, 2006
DESCRIPTION:Seminar on Statistical Independence\n\n\nJanuary 26\, 2009 – 4:38am \n\n\n\nFull Title:\nExpository talk on Statistical Independence : An Insight\n\n\nSpeaker:\nA.H. Joarder\, PhD\n\n\n\n\n\n\nDate/Time:\nTuesday\, July 25\, 2006\, 12PM\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nStatistical independence is explained in the context of a 2 x 2 contingency table. An inequality among events provides new insight into statistical independence. In turn it is found that statistical independence and linear dependence are equivalent in a square contingency table.
URL:https://isrt.ac.bd/event/seminar-on-tuesday-july-25-2006/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20060723T120000
DTEND;TZID=UTC:20060723T130000
DTSTAMP:20170814T033008Z
CREATED:20170814T033008Z
LAST-MODIFIED:20170814T033008Z
UID:1600-1153656000-1153659600@isrt.ac.bd
SUMMARY:Seminar on Sunday\, July 23\, 2006
DESCRIPTION:Seminar on Some Ridge Regression Estimators\n\n\nJanuary 26\, 2009 – 5:19am \n\n\n\nFull Title:\nOn Some Ridge Regression Estimators and Their Applications\n\n\nSpeaker:\nB.M.G. Kibria\, PhD\n\n\n\nFlorida International University\, Miami\, USA\n\n\nDate/Time:\nSunday\, July 23\, 2006\, 12PM\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nThe classical least squares procedures can produce estimate having a large mean square error (MSE) when the explanatory variables are highly correlated. The estimation of the regression parameters for the linear regression model with ill-conditioned explanatory variables are discussed in this paper. We propose some improved estimators\, namely\, the unrestricted ridge regression estimator\, restricted ridge regression estimator\, preliminary test ridge regression estimator\, shrinkage ridge regression estimator\, and positive rule ridge regression estimators in this talk. The performances of the proposed estimators are compared based on the quadratic bias and risk function under both null and alternative hypotheses\, which specify certain restric tions on the regression parameters. The conditions of superiority of the proposed estimators for departure and ridge parameters are given. It is demonstrated that unlike the positive rule shrinkage (PR) estimator which dominates both unrestricted and shrinkage estimators\, the positive rule ridge regression estimators (PRRRE) utilizes both sample and non-sample infor mation but does not outperform the unrestricted and shrinkage ridge regression estimators for an ill-conditioned data. As an application a real life example will be discussed.
URL:https://isrt.ac.bd/event/seminar-on-sunday-july-23-2006/
CATEGORIES:seminar
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