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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Shantanu Seth Sivakumar Ramakrishnan Decision Science Chicago USA Statistical Programming Innovation & AI Chicago USA

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

Measuring the effect of multichannel marketing strategies requires advanced algorithms which create unique challenges for the pharmaceutical industry's marketing efforts. The latest Multi-Touch Attribution (MTA) model evaluates multiple touchpoints within a customer journey and gains acclaim as the prime method for resource optimization. The study investigates the advanced MTA methods involving Shapley and Markov chain models and their practical uses in pharmaceutical marketing. The Shapley value uses cooperative game theory principles to distribute credit fairly among different touchpoints. Markov chains function to model the probability of sequential exchanges between customers and sellers. The Shapley value and Markov chain methods present more detailed results than those generated by standard last-click or heuristic-based models. The research paper presents an evaluative framework demonstrating these methods' functionality. Pharmaceutical companies using advanced MTA methods improve their management of intricate customer pathways and regulatory challenges. The study serves as a pathway that enables company marketers and data analysts to implement innovative tools to achieve improved results through strategic planning and resource distribution.

关键词： Analytical models Technological innovation Computational modeling Companies Strategic planning Resource management Pharmaceutical industry Optimization Standards Pharmaceuticals

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Quantitative determination of Nebivolol Hydrochloride and Rosuvastatin Calcium in laboratory prepared mixture by robust, high-performance liquid chromatographic method

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Discover Chemistry 2025年第1期2卷 1-16页

作者： Bolla, Sandeep Boggula, Narender Department of Statistical Programming Fortrea (Formerly LabCorp) Durham USA Department of Pharmaceutical Chemistry Omega College of Pharmacy Hyderabad India

A robust and eco-friendly high-performance liquid chromatographic (HPLC) method has been developed and validated to quantify Nebivolol Hydrochloride and Rosuvastatin Calcium in a laboratory-prepared mixture, following ICH guidelines. Utilizing a Shimpack ODS C18 column with a mobile phase consisting of Methanol, Acetonitrile, and phosphate buffer (pH 3.5, adjusted with ortho-phosphoric acid) in a 40:20:40 (v/v/v) ratio, the method achieved effective separation and detection at 281 nm. The assay demonstrated excellent linearity, precision, and accuracy for both drugs, with retention times of 2.455 min for Nebivolol and 6.197 min for Rosuvastatin. Forced degradation studies under acidic, basic, oxidative, thermal, and photolytic conditions revealed the method’s stability-indicating capability, with distinct separation of degradation products. The method’s environmental impact was assessed using the Analytical Eco Scale, AGREE metrics, and GAPI (Green Analytical Procedure Index), yielding favorable greenness scores (AES: 69, AGREE: 0.61), signifying moderate adherence to green analytical chemistry principles. This validated method is reliable for routine analysis and quality control, making it applicable to pharmaceutical and analytical laboratories.

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Dimension reduction with expectation of conditional difference

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statistical Theory and Related Fields 2023年第3期7卷 188-201页

作者： Wenhui Sheng Qingcong Yuan Department of Mathematical and Statistical Sciences Marquette UniversityMilwaukeeWIUSA Biostatistics and Programming SanofiUSBridgewaterNJUSA

In this article,we introduce a flexible model-free approach to sufficient dimension reduction analysis using the expectation of conditional difference *** any strict conditions,such as linearity condition or constant covariance condition,the method estimates the central subspace exhaustively and efficiently under linear or nonlinear relationships between response and *** method is especially meaningful when the response is *** also studiedthe√n-consistency and asymptotic normality of the *** efficacy of our method is demonstrated through both simulations and a real data analysis.

关键词： Central subspace expectation of conditionaldifference measure sufficientdimension reduction

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Customer Analytics: Using Machine Learning to Predict the Customer Life Time Value (CLTV) Based on Purchase History and Ratings

Customer Analytics: Using Machine Learning to Predict the Cu...

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Disruptive Technologies (ICDT), International Conference on

作者： Phani Chilakapati Sivakumar Ramakrishnan Ridhi Deora Anant Agarwal Data Architecture Analytics Digital Transformation Ashburn USA Statistical Programming Innovation & AI Chicago USA Product Management Manager High Point USA IT MDM & Data Governance High Point USA

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

Customer Life Time Value (CLTV) is a vital customer analytics metric that is intended to inform companies on the right investment in customer acquisition, retention, and engagement. Conventional CLTV models are heavily dependent on purchase frequency and money-value transaction information, but not customer satisfaction measurements like ratings. This paper proposes a general framework for incorporating ratings into machine learning models for CLTV prediction. Taking advantage of the merits of ensemble learning methods, the paper uses both transactional and satisfaction data to uncover the complex customer behavior dynamics. Our experimental finding indicates the better predictive performance of satisfaction-based models, providing companies with a sound basis to enhance customer analytics activities.

关键词： Analytical models Customer satisfaction Companies Predictive models Frequency measurement History Ensemble learning Disruptive technologies Random forests Investment

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Recursive Neyman Algorithm for Optimum Sample Allocation under Box Constraints on Sample Sizes in Strata

arXiv

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arXiv 2023年

作者： Wesolowski, Jacek Wieczorkowski, Robert Wójciak, Wojciech Programming Coordination of Statistical Surveys and Registers Department Statistics Poland Aleja Niepodleglości 208 Warsaw00-925 Poland Faculty of Mathematics and Information Science Warsaw University of Technology ul. Koszykowa 75 Warsaw00-662 Poland

The optimum sample allocation in stratified sampling is one of the basic issues of survey methodology. It is a procedure of dividing the overall sample size into strata sample sizes in such a way that for given sampling designs in strata the variance of the stratified π estimator of the population total (or mean) for a given study variable assumes its minimum. In this work, we consider the optimum allocation of a sample, under lower and upper bounds imposed jointly on sample sizes in strata. We are concerned with the variance function of some generic form that, in particular, covers the case of the simple random sampling without replacement in strata. The goal of this paper is twofold. First, we establish (using the Karush-Kuhn-Tucker conditions) a generic form of the optimal solution, the so-called optimality conditions. Second, based on the established optimality conditions, we derive an efficient recursive algorithm, named RNABOX, which solves the allocation problem under study. The RNABOX can be viewed as a generalization of the classical recursive Neyman allocation algorithm, a popular tool for optimum allocation when only upper bounds are imposed on sample strata-sizes. We implement RNABOX in R as a part of our package stratallo which is available from the Comprehensive R Archive Network (CRAN) repository. Copyright © 2023, The Authors. All rights reserved.

关键词： Sampling

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Stability-indicating liquid chromatographic method for the simultaneous estimation of colchicine and rosuvastatin in combination

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Essential Chem 2025年第1期2卷

作者： Sandeep Bolla Narender Boggula a Department of Statistical Programming Fortrea Durham North Carolina USA b Department of Pharmaceutical Chemistry Omega College of Pharmacy Hyderabad India

ABSTRACTThis study focuses on developing and validating a robust, reliable, and stability-indicating reverse-phase high-performance liquid chromatography (RP-HPLC) method for the simultaneous quantification of Colchicine and Rosuvastatin in bulk and synthetic mixture. The developed method is designed to meet International Council for Harmonization (ICH) guidelines for stability-indicating assays. The mobile phase consisted of buffer (pH adjusted to 4.0 with ortho-phosphoric acid): methanol: acetonitrile: in a 50:30:20 (v/v/v) ratio, and separation was performed on a Shim-pack ODS C18 (250 mm × 4.6 mm, 5 µm) column. The method was validated for specificity, linearity, precision, accuracy, and robustness. Forced degradation studies were performed under acidic, basic, oxidative, photolytic, and thermal stress conditions. Results showed that the method is selective for the active ingredients and degradation products, with retention times for Colchicine and Rosuvastatin being approximately 5.91 and 8.44 minutes, respectively. Moreover, the greenness profile for the proposed method was assessed utilizing the analytical greenness (AGREE) metrics with a score of the later one equals to 0.61 that indicated the greenness evaluation of the method. This method can be effectively used for routine quality control and stability testing.

关键词： Colchicine and rosuvastatin COVID-19 HPLC method stability indicating method UV spectroscopy

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On multi-armed bandit designs for dose-finding clinical trials

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2021年第1期22卷 686-723页

作者： Maryam Aziz Emilie Kaufmann Marie-Karelle Riviere Spotify NYC Univ. Lille CNRS Inria Centrale Lille UMR 9189 CRIStAL Lille France Statistical Methodology Group Biostatistics and Programming department Sanofi R&D Chilly-Mazarin France

We study the problem of finding the optimal dosage in early stage clinical trials through the multiarmed bandit lens. We advocate the use of the Thompson Sampling principle, a flexible algorithm that can accommodate different types of monotonicity assumptions on the toxicity and efficacy of the doses. For the simplest version of Thompson Sampling, based on a uniform prior distribution for each dose, we provide finite-time upper bounds on the number of sub-optimal dose selections, which is unprecedented for dose-finding algorithms. Through a large simulation study, we then show that variants of Thompson Sampling based on more sophisticated prior distributions outperform state-of-the-art dose identification algorithms in different types of dose-finding studies that occur in phase I or phase I/II trials.

关键词： multi-armed bandits adaptive clinical trials phase I clinical trials phase I/II clinical trials Thompson sampling Bayesian methods

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Stability Indicating Analytical Method Development and Validation of Efavirenz in Bulk and its Capsule Dosage Form by Uv Spectroscopy

SSRN

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SSRN 2024年

作者： Boggula, Narender Sayeed, Mohammed Bolla, Sandeep Bandigari, Parijatha Boddu, Revathi Banothu, Bhadru CMR College of Pharmacy Kandlakoya Medchal Telangana Hyderabad India School of Pharmacy Anurag University Venkatapur Ghatkesar Medchal Telangana Hyderabad India Statistical Programming Fortrea Inc. 8 Moore Drive DurhamNC27703 United States Nalla Narasimha Reddy Education Society’s Group of Institutions School of Pharmacy Chowdariguda Ghatkesar Telangana Medchal India Malla Reddy Institute of Pharmaceutical Sciences Maisammaguda Dhulapally Telangana Secunderabad India

Pharmaceutical analysis is crucial for maintaining bulk drugs' quality and safety standards. A simple, specific, sensitive, robust, accurate, precise, and fast UV spectroscopic technique has been devised to estimate Efavirenz in bulk and its capsule dosage form quantitatively. The solvent used in this method was 0.5% sodium lauryl sulphate. The wavelength 280nm was selected to estimate the Efavirenz in the capsule dosage form. The linearity ranges between 2-12µg/ml. The percent recovery was found to be 99.73-100.56%. The correlation coefficient of Efavirenz was found to be 0.999. The developed method was simple, specific, sensitive, accurate, precise, rapid, and economical, which can be efficiently and quickly applied to bulk and pharmaceutical dosage forms. © 2024, The Authors. All rights reserved.

关键词： Sulfur compounds

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Ex utero intrapartum therapy in infants with congenital diaphragmatic hernia:a propensity score matching analysis

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World Journal of Pediatric Surgery 2022年第4期5卷 267-274页

作者： Yunlong Zhao Ying Wang Chao Liu Yulin Jiang Yandong Wei Hua Meng Shan Jian Xiting Zhu Lijian Pei Xiaochen Bai Feng Feng Yan Lv Xiya Zhou Qingwei Qi Jingna Li Lishuang Ma Peking Union Medical College Graduate School BeijingChina Department of Neonatal Surgery Children’s Hospital of Capital Institute of PediatricsCapital Institute of PediatricsBeijingChina Department of Obstetrics Peking Union Medical College HospitalBeijingChina Department of Ultrasound Peking Union Medical College HospitalBeijingChina Department of Pediatrics Peking Union Medical College HospitalBeijingChina Department of Biostatistics and Statistical Programming Everest Clinical Research CorporationBeijingChina Department of Anesthesiology Peking Union Medical College HospitalBeijingChina Department of Pediatrics Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina Department of Radiology Peking Union Medical College HospitalBeijingChina

Objective Previous studies have shown that ex utero intrapartum therapy(EXIT)is safe and feasible for newborns with congenital diaphragmatic hernia(CDH).This study reports our experience with EXIT in fetuses with CDH in an attempt to explore the efficacy of EXIT on the survival rate of this *** A retrospective analysis of the clinical data of 116 children with CDH was *** children were assigned to EXIT and non-EXIT *** score matching(PSM)toward clinical data was performed,and the clinical characteristics and outcomes were *** survival at discharge as the main outcome,logistic regression analysis was carried out to explore the efficacy of EXIT on *** During the study period,30 of 116 children received *** PSM,the survival rates of the EXIT group and the non-EXIT group were 82.76%(24/29)and 48.28%(14/29),respectively(p=0.006).EXIT(OR=0.083,95%CI=0.013to 0.525,p=0.008),liver herniation(OR=16.955,95%CI=2.342 to 122.767,p=0.005),and gestational age at diagnosis(OR=0.662,95%CI=0.497 to 0.881,p=0.005)were independent mortality-related risk factors of all children with ***-nine of 116 children underwent *** PSM,the postoperative survival rates of the EXIT group and non-EXIT group were 84.6%(22/26)and 76.9%(20/26),respectively(p=0.754).Liver herniation(OR=10.451,95%CI=1.641 to 66.544,p=0.013)and gestational age at diagnosis(OR=0.736,95%CI=0.577 to 0.938,p=0.013)were independent mortality-related risk factors of children after *** EXIT can be performed safely for selected prenatally diagnosed CDH neonates with potentially better survival and does not cause more maternal complications compared with traditional cesarean section.

关键词： hernia diagnosis congenital

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Effects of a specialized oral nutritional supplement with dietary counseling on nutritional outcomes in community-dwelling older adults at risk of malnutrition: A randomized controlled trial

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Clinical Nutrition ESPEN 2024年 63卷 1318-1318页

作者： Muangpaisan, W. Wichansawakun, S. Huynh, D.T.T. Intalapaporn, S. Chalermsri, C. Thititagul, O. Chupisanyarote, K. Chuansangeam, M. Laiteerapong, A. Yalawar, M. Huang, C. Tey, S.L. Liu, Z. Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Faculty of Medicine Thammasat University Pathum Thani Thailand Abbott Nutrition Research and Development Asia-Pacific Center Singapore Singapore Thammasat University Hospital Pathum Thani Abbott Nutrition Research and Development Bangkok Thailand Biostatistics and Statistical Programming Cognizant Technologies Solution Pvt. Ltd Bangalore India Abbott Nutrition Research and Development Shanghai China

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