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| An Algorithm to Define the Optimum Biological Dose of Metronomic Chemotherapy |
| Atanu Bhattacharjee , Vijay M. Patil , Vanita Noronha , Amit Joshi , Kumar Prabhash |
| Biometrical Letters 2018; 55(1); 1-15 |
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| A dynamic stopping rule for phase I clinical trials |
| M. Iftakhar Alam , Mohaimen Mansur |
| Biometrical Letters 2018; 55(1); 17-30 |
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| Computing Bayes factors to measure evidence from experiments: An extension of the BIC approximation |
| Thomas J. Faulkenberry |
| Biometrical Letters 2018; 55(1); 31-43 |
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| The perfect regression and causality test: A solution to regression problems |
| Moawia Alghalith |
| Biometrical Letters 2018; 55(1); 45-48 |
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| Effect of number of parents on some important biometric genetic parameters in rapeseed (Brassica napus L.) |
| Valiollah Rameeh |
| Biometrical Letters 2018; 55(1); 49-60 |
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| The analysis of usefulness of locations on the basis of spring barley trials |
| Bogna Zawieja , Andrzej Bichoński , Jolanta Grala-Michalak |
| Biometrical Letters 2018; 55(1); 61-84 |
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| Genotype-by-environment interaction for seed glucosinolate content in winter oilseed rape (Brassica napus L.) using an additive main effects and multiplicative interaction model |
| Jan Bocianowski , Kamila Nowosad , Alina Liersch , Wiesława Popławska , Agnieszka Łącka |
| Biometrical Letters 2018; 55(1); 85-96 |
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| AMMI and GGE Biplot for genotype × environment interaction: a medoid–based hierarchical cluster analysis approach for high–dimensional data |
| Anderson Cristiano Neisse , Jhessica Letícia Kirch , Kuang Hongyu |
| Biometrical Letters 2018; 55(2); 97-121 |
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| An overview of statistical methods to detect and understand genotype-by-environment interaction and QTL-by-environment interaction |
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| Biometrical Letters 2018; 55(2); 123-138 |
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| Adapting Hellwig’s method for selecting concomitant variables under a certain growth curve model |
| Mirosława Wesołowska-Janczarek , Monika Różańska-Boczula |
| Biometrical Letters 2018; 55(2); 139-146 |
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| On a new approach to the analysis of variance for experiments with orthogonal block structure. |
| Tadeusz Caliński , Idzi Siatkowski |
| Biometrical Letters 2018; 55(2); 147-178 |
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| Linear Markovian models for lag exposure assessment |
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| Biometrical Letters 2018; 55(2); 179-195 |
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| Use of classification and regression trees (CART) for analyzing determinants of winter wheat yield variation among fields in Poland |
| M. Iwańska , A. Oleksy , M. Dacko , B. Skowera , T. Oleksiak , E. Wójcik-Gront |
| Biometrical Letters 2018; 55(2); 197-214 |
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| Determining the change point for the error in the Macrophyte Index for Rivers |
| Anna Budka |
| Biometrical Letters 2018; 55(2); 215-232 |
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| Entropy as a measure of dependency for categorized data |
| Ewa Skotarczak , Anita Dobek , Krzysztof Moliński |
| Biometrical Letters 2018; 55(2); 233-243 |
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