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Tracking Participants Post Exit

Tracking Participants Post Exit

Tracking Participants Post Exit . Post Exit Tracking Presented by Doug Mudd. Tracking Model: What Are We Tracking?. We track the following info depending on type of student: IET/HSE student: Credentials, HSEs, post-tests, skills progression, employment status, college enrollment

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313 views • 31 slides
Nonspeculative Bubbles in Experimental Asset Market

Nonspeculative Bubbles in Experimental Asset Market

Nonspeculative Bubbles in Experimental Asset Market. Lei, Noussair and Plott (2001). Presented by Huanren (Warren) Zhang. Outlines. Introduction to Bubbles Research Questions: Why do bubbles occur ? Speculative Hypothesis Active Participation Hypothesis Experimental Design Results

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383 views • 26 slides
BOG: Annexes

BOG: Annexes

BOG: Annexes. Annex I, Definitions Changes for PM 10 and PM 2.5, OK Clarification needed somewhere for stack measurements, condensable particles etc. CAS numbers missing for some POPs LPS definition was moved into the main text (paragraph 20).

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400 views • 21 slides
Introduction:

Introduction:

Risk factor profile for chronic non-communicable diseases: Results of a community-based study in Kerala, India. K.R. Thankappan , Bela Shah*, Prashant Mathur *, P.S. Sarma , G. Srinivas **, G.K. Mini, Meena Daivadanam Biju Soman & Ramachandran S. Vasan

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312 views • 19 slides
Confidence Interval Estimation for a Population Mean

Confidence Interval Estimation for a Population Mean

Confidence Interval Estimation for a Population Mean. Lecture 38 Section 10.3 Wed, Mar 30, 2005. Confidence Intervals. To estimate ?, we will use confidence intervals, as we did when estimating p . The basic form (as well as the theory) is the same: (pt. est.) ? (approp. no. of st. devs.).

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394 views • 16 slides
2D-QSAR Studies on 1, 4-dihydropyridines as Ca Channel Blockers

2D-QSAR Studies on 1, 4-dihydropyridines as Ca Channel Blockers

Calcium channel blockers are widely used for the treatment of various cardiac disorders. The existing calcium channel blockers have several short comings; hence there is a need to develop better drugs with better therapeutic profile. 2D-QSAR approach has been useful in such cases. A number of 1, 4- ihydropyridines like amlodipine are extensively used in therapy of cardio vascular disorders. Looking into importance of calcium channel blockers, a series of 1, 4- dihydropyridines was selected and different models based on Multiple linear regression (MLR), Principal component regression (PCR) and Partial Least Squares regression (PLR) analysis were generated to find out correlation between the physicochemical parameters and the biological activity. Multiple linear regression (MLR) coupled with stepwise variable selection led to a statistically significant model as compared to PLR and PCR with respect to r2 (coefficient of determination 0.8986) and q2 (cross- validation, > 0.5). Four descriptors are included in 2D- QSAR equation generated by using MLR.

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121 views • 7 slides
2D-QSAR Studies on 1, 4-dihydropyridines as Ca Channel Blockers

2D-QSAR Studies on 1, 4-dihydropyridines as Ca Channel Blockers

Calcium channel blockers are widely used for the treatment of various cardiac disorders. The existing calcium channel blockers have several short comings; hence there is a need to develop better drugs with better therapeutic profile. 2D-QSAR approach has been useful in such cases. A number of 1, 4- dihydropyridines like amlodipine are extensively used in therapy of cardio vascular disorders. Looking into importance of calcium channel blockers, a series of 1, 4- dihydropyridines was selected and different models based on Multiple linear regression (MLR), Principal component regression (PCR) and Partial Least Squares regression (PLR) analysis were generated to find out correlation between the physicochemical parameters and the biological activity. Multiple linear regression (MLR) coupled with stepwise variable selection led to a statistically significant model as compared to PLR and PCR with respect to r2 (coefficient of determination 0.8986) and q2 (cross- validation, > 0.5). Four descriptors are included in 2D- QSAR equation generated by using MLR.

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79 views • 7 slides

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