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) m...
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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.
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...
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.
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 ...
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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.
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 heavil...
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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.
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 sampli...
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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 Colchic...
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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.
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 d...
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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.
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 estima...
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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 ...
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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.
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