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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
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20050101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20070714T120000
DTEND;TZID=UTC:20070714T130000
DTSTAMP:20170814T025322Z
CREATED:20170814T025322Z
LAST-MODIFIED:20170814T025322Z
UID:1584-1184414400-1184418000@isrt.ac.bd
SUMMARY:Seminar on Saturday\, July 14\, 2007
DESCRIPTION:Seminar : Basics of Sample Size Determination\n\n\nJuly 13\, 2007 – 11:24pm \n\n\n\nFull Title:\nBasics of Sample Size Determination\n\n\nSpeaker:\nSyed Shahadat Hossain\, PhD\n\n\n\nInstitute of Statistical Research and Training\, University of Dhaka\, Bangladesh\n\n\nDate/Time:\nSaturday\, July 14\, 2007\, 1200\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nThis talk will address the basic issues related to sample size determination. The reason for sample size determination along with its fundamental logic will be covered. The sample size determination method for some commonly encountered sampling designs will be demonstrated and consequence of any misspecification will discussed. This talk would be helpful for the students preparing for primary data collection as well as for any practitioners needing clarification of the issue.
URL:https://isrt.ac.bd/event/seminar-on-saturday-july-14-2007/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20070527T120000
DTEND;TZID=UTC:20070527T130000
DTSTAMP:20170814T025502Z
CREATED:20170814T025502Z
LAST-MODIFIED:20170814T025502Z
UID:1586-1180267200-1180270800@isrt.ac.bd
SUMMARY:Seminar on Sunday\, May 27\, 2007
DESCRIPTION:Seminar : Robust linear model selection based on Least Angle Regression\n\n\nMay 26\, 2007 – 1:59am \n\n\n\nFull Title:\nRobust linear model selection based on Least Angle Regression\n\n\nSpeaker:\nJafar A Khan\, PhD\n\n\n\nDepartment of Statistics\, University of Dhaka\, Bangladesh\n\n\nDate/Time:\nSunday\, May 27\, 2007\, 1200\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nAbstract We consider the problem of building a linear prediction model when the number of candidate covariates is large and the dataset contains a fraction of outliers and other contaminations that are difficult to visualize and clean. We aim at predicting the future non-outlying cases. Therefore\, we need methods that are robust and scalable at the same time. \nOur two-step model building procedure consists of sequencing and segmentation. In sequencing\, we order the covariates and the first m covariates form a reduced set for further consideration. The segmentation step carefully examines subsets of the covariates in the reduced set to select the final prediction model. \nWe need a suitable step–by–step algorithm to sequence the covariates. Since Forward Selection (FS) is aggressive\, we focus on Least Angle Regression (LARS)\, a powerful algorithm recently proposed by Efron\, Hastie\, Johnstone and Tibshirani (2004). We review LARS\, and explain one approach to its robustification.
URL:https://isrt.ac.bd/event/seminar-on-sunday-may-27-2007/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20070409T120000
DTEND;TZID=UTC:20070409T130000
DTSTAMP:20170814T025641Z
CREATED:20170814T025641Z
LAST-MODIFIED:20170814T025641Z
UID:1588-1176120000-1176123600@isrt.ac.bd
SUMMARY:Seminar on Monday\, April 9\, 2007
DESCRIPTION:Seminar : Estimation of Gene Expression Using Multiple Laser Scans of Microarrays\n\n\nApril 9\, 2007 – 2:01am \n\n\n\nFull Title:\nStatistical Estimation of Gene Expression Using Multiple Laser Scans of Microarrays\n\n\nSpeaker:\nMizanur R Khondoker\, PhD\n\n\n\nDepartement of Statistics\, University of Dhaka\, Bangladesh\n\n\nDate/Time:\nMonday\, April 9\, 2007\, 1200\n\n\nVenue:\nISRT Seminar Room\n\n\n\n  \n\nABSTRACT\nWe propose a statistical model for estimating gene expression using data from multiple laser scans at different settings of hybridized microarrays. A functional regression model is used\, based on a non-linear relationship with both additive and multiplicative error terms. The function is derived as the expected value of a pixel\, given that values are censored at 65535\, the maximum detectable intensity for double precision scanning software. Maximum likelihood estimation based on a Cauchy distribution is used to fit the model\, which is able to estimate gene expressions taking account of outliers and the systematic bias caused by signal censoring of highly expressed genes. We have applied the method to experimental data. Simulation studies suggest that the model can estimate the true gene expression with negligible bias.
URL:https://isrt.ac.bd/event/seminar-on-monday-april-9-2007/
CATEGORIES:seminar
END:VEVENT
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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